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Gap inequalities for non-convex mixed-integer quadratic programs

Publication year: 2011
Source: Operations Research Letters, Volume 39, Issue 5, September 2011, Pages 297-300

Laura Galli, Konstantinos Kaparis, Adam N. Letchford

Laurent and Poljak introduced a very general class of valid linear inequalities, called gap inequalities, for the max-cut problem. We show that an analogous class of inequalities can be defined for general non-convex mixed-integer quadratic programs. These inequalities dominate some inequalities arising from a natural semidefinite relaxation.

Highlights

► The gap inequalities form a very general class of cutting planes for the max-cut problem. ► We extend them to the case of non-convex mixed-integer quadratic programs. ► Our inequalities dominate some inequalities arising from a natural semidefinite relaxation.

Posted in: Journal Article Abstracts on 09/22/2011 | Link to this post on IFP |
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